Bioinformatics Jobs

Primary Work Address: 300 Longwood Avenue, Boston, MA, 02115 Current HHMI Employees, click here to apply via your Workday account. We have an outstanding opportunity for an experienced Bioinformatics Specialist to join the Sankaran lab at Boston Children's Hospital. The Sankaran Laboratory uses human genetics to study hematopoiesis and how this process goes awry in human disease. We are particularly interested in gaining molecular insights into how hematopoietic stem and progenitor cells can effectively produce mature blood and immune cells. We integrate modern human genetic studies with functional studies, employing a variety of innovative genomic technologies and more traditional hematopoietic assays. Additionally, we develop genomic tools, including cellular barcoding approaches and single-cell technologies, to enable higher-resolution studies of human hematopoiesis in health and disease. More information about the lab and their work can be found by visiting: https://www.bloodgenes.org/ About the Bioinformatics Specialist role: You will perform professional work in support of scientific research in computational biology, human genetics, and bioinformatics using technical knowledge involving analyses of large genetic and genomic datasets, large-scale computational analyses, lead database management, reproducible analysis pipeline development, and software development in a complex computing environment designed for scientific research. Working collaboratively with Dr. Sankaran, you will determine the most suitable computational approaches to be used in research. Independently perform scientific data analyses requiring application of professional judgment. Interpret experimental results and determine whether they are consistent with experimental goals. Review pertinent literature for information that will further research goals. Recommend appropriate data visualization methods for specific purposes. Prepare reports of research findings for presentation or publication. You will have broad and general knowledge of approaches to data analysis and will have significant knowledge in a specific area of computing technology, bioinformatics, or computational biology. Computational analyses and management will represent over 75% of the activity associated with the work assigned. What we provide: One on one mentoring relationship with the principal investigator, a pediatrician-scientist. Opportunity to work with a dynamic, diverse, and highly collaborative research team seeking to define how blood diseases arise and how better treatments can be developed. Access to several vibrant research communities in the Boston area, including at Boston Children's Hospital, the broader Longwood medical area centered around Harvard Medical School, and the Broad Institute of MIT and Harvard. Close interactions with colleagues and collaborators in human genetics and computational biology. Opportunities for professional growth and development, including the opportunity to attend scientific conferences, as well as opportunities to make scientific contributions. A competitive compensation package with comprehensive health and welfare benefits. What you’ll do: Manage laboratory computing infrastructure. Review existing computer frameworks to ensure it meets the needs of the lab. Initiates exploration of new resources, as needed for the lab. Develop and lead new computational analyses of human genetic datasets to achieve goals of laboratory. Work closely with other lab scientists to understand analytical workflows and help improve quality and performance in data acquisition and analysis. Develops software to meet analytical needs of lab. Evaluate, develop, and test software and computational solutions to support experimental and analytical workflows. Design, prototype and implement computational algorithms for processing large datasets in various languages and frameworks. Train laboratory staff in the use of computational resources. Perform research projects as assigned by the Investigator. Work on or manage projects where the time frame may not be clear and where end results may be uncertain. What you bring: Master’s degree in bioinformatics, computational biology, or a related discipline. PhD preferred, or an equivalent combination of education and related work experience. Knowledge of statistics helpful. Two years of related research experience in computational biology and bioinformatics. Technical proficiency in analysis of human genetic datasets, including use of Python and R, as well as command line. Familiarity with commonly used bioinformatics tools and file formats. Desire to produce clear, reproducible and maintainable code. Can resolve most problems without assistance or define assistance required for resolution. Ability to work inclusively and collaboratively with a diverse team. In-depth knowledge of specific areas of computational analysis and of general underlying principles and concepts. Ability to review goals and determine which techniques and/or systems are required to meet them. Able to bring desired new database management and analytical capabilities to the lab with minimal supervision. Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. #LI-LL1 Compensation and Benefits Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission, including competitive pay, exceptional health benefits, retirement plans, time off, and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more. Compensation Range $100,430.00 (minimum) - $125,500.00 (midpoint) - $163,240.00 (maximum) Pay Type: Annual HHMI’s salary structure is developed based on relevant job market data. HHMI considers a candidate's education, previous experiences, knowledge, skills and abilities, as well as internal equity when making job offers. Typically, a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range. HHMI is an Equal Opportunity Employer Howard Hughes Medical Institute (HHMI) is an independent, ever-evolving philanthropy that supports basic biomedical scientists and educators with the potential for transformative impact. We make long-term investments in people, not just projects, because we believe in the power of individuals to make breakthroughs over time. Why HHMI To move science forward we need a diverse collection of talents, expertise, and backgrounds in scientific research and science education, as well as communications, finance, human resources, information technology, investments, law, and operations. At HHMI, we encourage collaborative and results-driven working styles and offer an adaptable environment where employees can do their best work. What makes us strong is the diversity of our perspectives. We work to promote a culture of inclusion in our work environments and across the greater scientific community. To find more information about us and the steps we're taking to make HHMI a more inclusive organization, visit our About Us page. Your best option for consideration in our career opportunities is to apply directly via our HHMI Careers site. There, you will learn more about HHMI and can find information about our available roles. Contact us at recruitingsupport@hhmi.org if you require an accommodation related to completing the job application. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Applicants have rights under federal employment laws. For more information about your rights as an applicant, please review these posters: Family and Medical Leave Act (FMLA), Know Your Rights, and Employee Polygraph Protection Act (EPPA).

Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Job Summary The Center for Statistical Genetics (CSG) in the Department of Biostatistics at the University of Michigan has an exciting opportunity for a Bioinformatics Analyst (UM job title: Bioinformatician / Computational Biologist - Senior). You will join a highly interactive team that serves as the Informatics Research Center for NHLBI's TOPMed program. You will support the integration of metabolomics, proteomics and/or RNA-sequencing information into studies that already have whole genome sequence data for 10,000s of individuals. This is an opportunity to work in a rewarding research area that always poses new technical and computational problems. Who We Are We at the Center for Statistical Genetics design and carry out some of the world's largest human genetic studies with petascale genetic information, health data, and additional biological information on hundreds of thousands of human participants. We develop methods and tools that make these data and the insights they support available to thousands of researchers worldwide across academia, industry, and government. Why Work at Michigan? In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include: • Generous time off, including family leave • A retirement plan that provides two-for-one matching contributions with immediate vesting • Many choices for comprehensive health insurance, dental, vision • Life insurance • Long-term disability coverage • Flexible spending accounts for healthcare and dependent care expenses For more information, please visit: https://careers.umich.edu/benefits/ Responsibilities* • Process and quality control omics data for the TOPMed Project, which has already sequenced >180,000 deep whole genomes. (20%) • Develop pipelines to process and analyze multi-omic datasets, including methylation, metabolomics, proteomics, and/or RNAseq. (20%) • Establish and maintain best practices for reproducible bioinformatic analyses. (20%) • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field. (20%) • Contribute to key reports and papers for presentations and publication and present at scientific conferences. (20%) Required Qualifications* • Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field. • 2-5 years experience in bioinformatics or a related domain. • Proficiency in analyzing large-scale biological datasets and familiarity with sequencing technologies. • Expertise in RNA-seq or metagenomics analyses. • Proficiency in programming languages such as Python, R, Perl, or Java. • Experience with cloud computing platforms (AWS, Google Cloud) is a plus. • Proven problem-solving and analytical skills. • Demonstrated excellent written and verbal communication skills. • Experience working collaboratively in a multidisciplinary team. • Proficiency in Docker and workflow management systems (e.g., Nextflow, Snakemake). Modes of Work This is a hybrid position and requires residence in commuting distance to the Ann Arbor campus. Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes. Underfill Statement This position may be underfilled at a lower classification depending on the qualifications of the selected candidate. Senior - $85,850 - $106,050 Intermediate - $70,849 - $87,520 Background Screening The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer.

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. Bioinformatics/Data Science Position-Center for Pediatric Neurological Disease Research, St. Jude Pediatric Translational Neuroscience Initiative, St. Jude Children’s Research Hospital, Memphis, TN. St. Jude Children’s Research Hospital has established an expansive and multicomponent initiative in translational neuroscience with a mission to understand and treat catastrophic childhood neurological disease. This new initiative integrates basic and clinical neuroscience and partners with industry and foundations to develop and implement novel therapies. A key component of this enterprise is the Genomics Medicine Initiative (GEMINI) an individualized gene-targeted therapeutics program. The initial focus of GEMINI is on the use of antisense oligo nucleotides (ASOs) to treat monogenic catastrophic pediatric neurogenetic disorders with high unmet need. We are seeking an individual with bioinformatics and genetics expertise and a strong working knowledge of ASO design and application to address disease mutations in the context of patient specific genomes. This individual will leverage available state-of-the-art tools and technology to enhance existing capabilities in therapeutic ASO development for neurogenetic disease. The research environment at St. Jude is outstanding. Investigators have access to cutting edge institutional shared resources, which support broad research endeavors and includes computational biology, genomics, proteomics, CRISPR-based genome editing, mouse modeling, iPSC disease modelling, cell sorting, live cell imaging, spatial and single cell omics modalities, and advanced image acquisition, processing and analysis, amongst a variety of other specific departmental research infrastructures. There are many opportunities for collaborative interactions with world-class basic science and clinical investigators. St Jude Children’s Research Hospital is a private, not-for-profit institute that is internationally recognized for its commitment to performing cutting edge research and providing state of the art clinical services, with the goal to improve the outcome for children with catastrophic diseases. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Special Skills, Knowledge and Abilities: • Optimizes data storage and minimizes intermediate data by reproducible computing. • Automates multiple cloud computing tasks. • Develops light-weight software applications with scripting languages (e.g., Perl, Python, Ruby) or programming languages (e.g. C++, JAVA). • Performs data modeling and database design to minimize redundancy and enforce relationships between different entities in relational databases. • Leads development, implementation, and maintenance of biomedical databases. • Coordinates data collection, database implementation, and usage. • Oversees QC on the data to be loaded into the database. • Works with IS to set up and install recommended software related to database collection. • Creates novel visualization to help data interpretation. • Leads evaluation and testing of new methods and technologies. Contributes ideas to automate or improve existing analysis methods. • Establishes protocols or best practices for common research tasks and SOPs. • Leads evaluation of products and solutions, makes recommendations, and integrates solutions. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist - Center for Pediatric Neurological Disease Research. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other efforts related to analysis and infrastructure as directed. The Neurobiology and Brain Tumor Program (NBTP) is seeking a highly motivated Bioinformatics Research Scientist. The NBTP is a collaborative translational research program with a mission to improve survival and morbidity for children with brain tumors. Through application of cutting-edge molecular approaches to unique and data-rich cohorts, members of this program are efficiently translating laboratory findings into clinical practice and treatment innovations. The successful candidate will contribute to discovery-driven computational studies of unprecedented multi-‘omics datasets obtained from children with malignant brain cancer. Through application of machine learning and integration of large multi-modal datasets, including bulk, single-cell, and spatial profiles, we aim to make novel insights with real-world clinical implications. The candidate will work closely with other bioinformatics personnel within the NBTP to play an integral role in exciting collaborations, both within St. Jude and with prominent external collaborators. A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in NGS data analysis are essential for this position. The successful recruit must have the capacity to execute proficient computational analyses and troubleshoot independently, communicate effectively with the PI and collaborators across diverse disciplines, and thrive in a highly collaborative team environment. The ideal candidate should have: • A PhD in bioinformatics, computational biology, and/or data science. • Analyzed data using some the following platforms: whole-genome/exome sequencing, RNA-seq, ATAC-seq, ChIP-seq/CUT&RUN, Hi-C, DNA methylation, single-cell/nucleus RNA-seq, spatial transcriptomics, and quantitative proteomics. • A strong CV that includes translational publications in the field of cancer genomics, epigenomics, single-cell, and/or spatial ‘omics. • Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing platforms including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole-genome sequencing. Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. Exposure to building tools and developing pipelines a plus. • Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Extensive expertise in data integration and harmonization. • Proven problem-solving skills and success collaborating with clinical and/or multidisciplinary teams in fast-paced environment. • Excellent communication and presentation skills. Minimum Education: • Bachelor's degree in bioinformatics, statistics/computer science (with a background in biological sciences) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, statistics/computer science (with a background in biological sciences). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Bioinformatics Research Scientist - Senior Bioinformatics Research Scientist - Neurobiology and Brain Tumor. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Job title: Director, Bioinformatics Location: Cambridge, MA, About the Job Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. The Computational Biology Cluster is part of the Precision Medicine & Computation Biology (PMCB) global research function at Sanofi. We are looking for a leader in Computational Biology with deep expertise in building bioinformatics solutions, software, data and analytics workflows. The post holder will lead the new Bioinformatics Data, Software and Pipeline Engineering team in the Computational Biology cluster and help to index and integrate new biomedical insights from biomedical big data. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? About You • A global leader in Bioinformatics with extensive experience in leading global, matrix organizations • Strong background in target biology and experience in working key therapeutic areas including immune and inflammation diseases, oncology, rare and neuroscience • Experience in building data-rich solutions with a focus on discovery research and clinical data sets e.g.multi-omics, imaging, NGS, and patient databases (DNA, bulk-RNA, single-cell RNA, imaging, flow-cytometry, proteomics, etc.) • Collaborate with Sanofi’s Data Office and Digital Organization to define, develop, and deliver collaborative goals • Experience in data modeling, AI/ML, Data Ops, and AI/ML Model Ops • Works according to agile principles • Experience in one of the key therapeutic areas of Sanofi – GMU, I&I or RND • Experience in comprehensively presenting complex information to senior scientific and technical leadership • Presentations and Publications in leading AI/ML, Data Science, bioinformatics, and computational biology conferences/journals (ISMB, NeurIPS, IEEE, ACM) • Experience in biological, clinical, and healthcare data integration tools • Provide coaching, and support to junior scientists, engineers, and team members • Mentor data scientists, data engineers, and machine learning engineers • Excellent skills in cross-functional communication, and operating experience with a consultancy mindset in an R&D setting • Leadership experience in negotiating and optimizing resource allocations with vendors • Leadership experience in building, leading, and mentoring international teams is preferred • A close interaction and synergy with all PMCB in-silico and experimental clusters and therapeutic area functions will be expected Education: PhD in Bioinformatics, Biomedical Data Engineering, Computer Science or similar with 5+ years of experience Key skills: • Programming Languages: R, Python, Java, JavaScript (angular, react, node, express), html5/CSS, XSLT • Cloud: AWS, Azure, and GCP • OS and Servers: Linux, nginx, Apache • Databases: ETL, MongoDB, SQL/PLSQL, graph databases • Big data technology stack: Spark/PySpark, MySQL, NoSQL, Hadoop, Hive, Sqoop, Yarn, Map Reduce, HDFS • Experience in AI/ML Ops and Data Ops for petabytes of data • Others: Nginx, CWL, snake make • Experience in workflow management, orchestration tools, and solutions including Seven Bridges, DNA Nexus, etc. • Big data technology stack: Spark/PySpark, NoSQL, Hadoop, Cassandra, BigQuery, Snowflake, BigQuery • Experience in AI/ML Ops and Data Ops for petabytes of data and database optimization Why Choose Us? • Bring the miracles of science to life alongside a supportive, future-focused team. • Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. • Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. • Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA ​ #LI-SA #LI-Onsite #vhd

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. To find out more about our studies, you can check our recent publication in Nature and other journals about the endurance exercise training in rats (visit https://motrpac-data.org/publications). To be considered, please submit a resume and a cover letter that describes your interest in this position, and what skills you would bring to this role. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like R and/or Python, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis (with emphasis on genomics, transcriptomics, epigenomics datasets), biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Due to extensive teamwork needed, this is a mostly on-site position. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: • Graduate degree (MS, PhD) emphasizing statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, epigenomics (ATAC-seq, RRBS). Knowledge of metabolomics and proteomics analysis is a plus. • Experience in systems biology approaches for data integration. • Proficiency in Python and/or R and Linux bash scripting. • Experience and knowledge of code management such as GitHub. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of working with data and infrastructure in an HPC (High-Performance Computing) cluster or cloud computing environments like Google Cloud Platform, AWS, or Azure. • Experience with container systems such as setting up virtual machines and docker instances. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. • Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. CERTIFICATIONS & LICENSES: • None PHYSICAL REQUIREMENTS*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $104,358 to $128,038 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Overview Join the HJF Team! HJF is seeking a Bioinformatics Director to establish and direct bioinformatics support in human genome sequencing. Interfaces with clinical laboratory sequencing and physician scientist teams. Responsible for developing and implementing the computational infrastructure and analysis pipeline for whole genome next-generation sequencing data and provide support for research teams for interpreting genomics data across projects. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities • Establishes and conducts analyses and interpretation of whole genome and next-generation sequencing data. • Supervises and conducts analyses and interpretation of data from other genomic and proteomic platforms including nucleic acid/protein microarrays. • Integrates large genomic and proteomic datasets with systems biology tools. • Evaluates emerging and novel bioinformatics tools or sequencing data types. • Provides statistical support via statistical consultation throughout the courses of studies and prepare statistical reports for presentations and publications. • Supervises and performs complex analytical and statistical work using appropriate statistical/bioinformatic methods to identify disease-related changes. • Develops computing infrastructure plans in accordance with long- and short-term program objectives; direct systems evaluations; plan, install, test, and coordinate the corresponding systems/software changes. • May include budgetary responsibility to include plan/forecast, prepare, approve, monitor. Supervisory Responsibilities • Direct Supervisor: Direct authority to make decisions on the following: employee hiring, disciplinary action, starting salaries and merit increases; conduct employee performance evaluations and directs work activities. Qualifications Education and Experience • Doctoral Degree in Bioinformatics, Computational Biology, or related • More than 10 years experience required Required Knowledge, Skills and Abilities • Experience in bioinformatics, biostatistics, functional genomics. • Experience working in a high performance computing environment with large biological datasets. • Proven ability to extract/describe highly complex genomic/proteomic data and present data in a biologically meaningful context. • Demonstrated familiarity with statistical/mathematical packages such as R/MATLAB or equivalent. • Demonstrated experience installing/configuring and managing a high performance bioinformatics computing environment. • Knowledge of database management systems. • Ability to communicate effectively. • Ability to make effective presentations and publish. • Excellent verbal, written and interpersonal skills. Physical Capabilities • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in a Laboratory setting. Compensation • The annual salary range for this position is $144,700-$179,000. Actual salary will be determined based on experience, education, etc. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Look for more than answers. As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

The Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Winthrop P. Rockefeller Cancer Institute at the University of Arkansas for Medical Sciences (UAMS) is seeking an energetic and innovative Bioinformatician to serve as Director of our Bioinformatics Shared Resource. This position provides leadership and subject matter expertise for the Institute’s entire research enterprise. The new Director will assemble and oversee a team of bioinformaticians that provide support to cancer institute members for experimental design and to produce high quality analysis and output of data with the latest bioinformatics pipelines in support of publications and extramural funding. The Director of the Bioinformatics Shared Resource is appointed by the Director of the Winthrop P. Rockefeller Cancer Institute and works closely with the Associate Director of Shared Resources to provide support for cancer research. The Bioinformatician will have a faculty position in the College of Medicine. Candidates must be eligible for an academic appointment at the rank of Assistant Professor or above with a PhD, or comparable degree, and have a documented research track record, as evidenced by a history of peer-reviewed publications in high impact journals and/or extramural funding. Applicants must be able to work in a team environment. The position will have access to substantial resources including a multiple year financial package to support the Bioinformatics Shared Resource. This recruiting effort is made possible through significant institutional resources and a commitment from the state of Arkansas to support the Winthrop P. Rockefeller Cancer Institute’s efforts to attain NCI Designation. The Winthrop P. Rockefeller Cancer Institute is the only cancer center in the state of Arkansas with a robust cancer research portfolio and a mission to improve cancer outcomes for all Arkansans. Its 170+ members conduct outstanding cancer research within Cancer Therapeutics, Cancer Biology, and Cancer Prevention & Population Sciences research programs. Cancer Institute members receive annually approximately $20 million in extramural cancer research funds. The Cancer Institute has six shared resource facilities and has recently hired 23 laboratory-based cancer researchers. Applicants should send their Curriculum Vitae, a one-page letter of interest, and three professional references directly to Dr. Michael Birrer c/o Rikki Rogers at rrogers@uams.edu. Application deadline is March 15, 2025. Selected applicants will join a diverse and vibrant academic community that values its researchers and is committed to diversity, equity and inclusion. UAMS is an inclusive Affirmative Action and Equal Opportunity Employer of individuals with disabilities and protected veterans and is committed to excellence. If you need a reasonable accommodation for any part of the employment process, please contact us by telephone at (501) 686-6432 and let us know the nature of your request. We will only respond to messages left that involve a request for a reasonable accommodation in the application process. We will accommodate the needs of any qualified candidate who requests a reasonable accommodation under the Americans with Disabilities Act (ADA).